Application of Big Data Mining Technology in the Digital Construction of Vocal Music Teaching Resource Library

Abstract

In recent years, vocal music is becoming more and more important to daily life, which can cultivate emotion and adjust pressure, but at present, vocal music teaching is faced with an increasingly serious shortage of teacher resources. Therefore, it is particularly important to develop a vocal music teaching system using the computer-aided teaching function. First, the algorithm flow of the system is designed in detail according to the principle of computer neural network technology, the performance characteristics of vocal music are extracted by using Fourier transform and its improved function, and the key modules of the system are designed according to the system frame structure and data processing flow and gave the key design code. Finally, taking piano performance as an example, players with different steel bar grades were selected to test the accuracy of the system evaluation. The test results show that the system can reflect the real level of the performers, which is beneficial to vocal music teaching. The improvement of the vocal music teaching system is of great practical significance to adjust the traditional music teaching mode and make the education system more reasonable.